Virtual power plant energy optimisation in smart grids

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

The growing number of distributed renewable energy sources connected to the grid has brought some challenges to the management of the power system network. New optimisation models are required to manage these distributed generation units when they are clustered together. In this case, virtual power plants (VPPs) plays an important role by ensuring that the value of the produced power by clusters of distributed power generation units is efficiently managed. In this paper, an optimisation model based on mixed integer programming technique for the management of clusters of distributed generation units consisting of local heat and power supply system with CHPs, solar photovoltaic systems and thermal power generation units is presented. The proposed algorithm ensures maximum benefit of thermal and electric energy in the power system network. The results show that there is a 10% increase in benefit when virtual power plants are used and optimised.

Original languageEnglish
Title of host publicationProceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages714-718
Number of pages5
ISBN (Electronic)9781728103693
DOIs
Publication statusPublished - 1 May 2019
Event2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019 - Bloemfontein, South Africa
Duration: 28 Jan 201930 Jan 2019

Publication series

NameProceedings - 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019

Conference

Conference2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2019
Country/TerritorySouth Africa
CityBloemfontein
Period28/01/1930/01/19

Keywords

  • load demand
  • optimisation
  • solar photovoltaic
  • virtual power plants

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Mechanical Engineering
  • Artificial Intelligence

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